Artificial Intelligence – Stuart Russell, Peter Norvig – 2nd Edition

Description

For one or two-semester, undergraduate or graduate-level courses in . The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of .

Table of Content

I. ARTIFICIAL INTELLIGENCE.
1. Introduction.
2. Intelligent Agents.

II. PROBLEM-SOLVING.
3. Solving Problems by Searching.
4. Informed Search and Exploration.
5. Constraint Satisfaction Problems.
6. Adversarial Search.

III. KNOWLEDGE AND REASONING.
7. Logical Agents.
8. First-Order Logic.
9. Inference in First-Order Logic.
10. Knowledge Representation.

IV. PLANNING.
11. Planning.
12. Planning and Acting in the Read World.

V. UNCERTAIN KNOWLEDGE AND REASONING.
13. Uncertainty.
14. Probabilistic Reasoning Systems.
15. Probabilistic Reasoning Over Time.
16. Making Simple Decisions.
17. Making Complex Decisions.

VI. LEARNING.
18. Learning from Observations.
19. Knowledge in Learning.
20. Statistical Learning Methods.
21. Reinforcement Learning.

VII. COMMUNICATING, PERCEIVING, AND ACTING.
22. Agents that Communicate.
23. Text Processing in the Large.
24. Perception.
25. Robotics.

VIII. CONCLUSIONS.
26. Philosophical Foundations.
27. AI: Present and Future.

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